Search Results for "sensor data"

...It features all the state-of-the-art characteristics of low-power chips, including fine-grained clock gating, multiple power modes,and dynamic power scaling. For instance, in a low-power IoT sensor hub application scenario, ESP32 is woken-up periodically and only when a specified condition is detected. The low-duty cycle is used to minimize the amount of energy that the chip expends. The output of the power amplifier is also adjustable, thus contributing to an optimal trade-off between communication range, data rate and power consumption. ...

Makani was an ambitious Google X project that sought to harness wind energy using airborne wind turbines — autonomous kites capable of generating power while flying in crosswind patterns. This open-source repository contains the complete software stack that powered Makani’s research and flight systems, including the flight simulator, autopilot controller, avionics firmware, visualization tools, and ground control software. The software enables simulation, control, and analysis of the Makani...

...It is possible to switch from one to 4 LEDs (monostable and bistable mode). The bistable mode has a time set to 1 second by default. In addition to switching the LEDs, you can monitor various sensors such as temperature, humidity, water sensor and brightness sensor. You can save, read and delete the memory with the data acquired or sent to the device.

Microhcip PIC18F based LCD weather station that uses Ethernet connection to download data from the Internet.

Heimdall is a sensor fusion framework. It uses a component-based approach to create a sensor fusion middleware. This is the core component, which controls the interaction between the components used to do the sensing and the processing of data.

This command-line tool allow to retrieve data from the Testo 175/177 sensor.

ODDAS will consist of an inexpensive main board running embedded Linux and a bus of sensor modules. The main board may connect with others via ethernet.

Framework to simplify developing applications that use wireless body sensor networks (bodynets). Manages sensor sampling, data buffering, local processing and communication. Supports embedded devices running TinyOS and any Java-capable gateway.